Time domain reflectometry (TDR) potential for soil condition monitoring of geotechnical assets

Curioni, Giulio; Chapman, David N.; Royal, Alexander C.D.; Metje, Nicole; Dashwood, Ben; Gunn, David A.; Inauen, Cornelia M.; Chambers, Jonathan E.; Meldrum, Philip I.; Wilkinson, Paul B.; Swift, Russell T.; Reeves, Helen J.. 2019 Time domain reflectometry (TDR) potential for soil condition monitoring of geotechnical assets. Canadian Geotechnical Journal, 56 (7). 942-955. 10.1139/cgj-2017-0618

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Official URL: http://dx.doi.org/10.1139/cgj-2017-0618

Abstract/Summary

The performance of geotechnical assets is influenced by various external factors including time and changing loading and environmental conditions. These changes could reduce the asset’s ability to maintain its function, potentially resulting in failure, which could be extremely disruptive and expensive to remediate; thus, the ability to monitor the long-term condition of the ground is clearly desirable as this could function as an early-warning system, permitting intervention prior to failure. This study demonstrates, for the first time, the potential of using time domain reflectometry (TDR) for long-term monitoring of the relative health of an asset (via water content and dry density) in a field trial where a clayey sandy silt was exposed to leaking water from a pipe. TDR sensors were able to provide detailed information on the variation in the soil conditions and detect abrupt changes that would relay a prompt for asset inspections or interventions. It is proposed that TDR could be used alone or together with other shallow geophysical techniques for long-term condition monitoring of critical geotechnical assets. Early-warning systems could be based on thresholds defined from the values or the relative change of the measured parameters

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1139/cgj-2017-0618
ISSN:	0008-3674
Date made live:	22 Aug 2019 14:15 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/524841

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1139/cgj-2017-0618

ISSN:

0008-3674

Date made live:

22 Aug 2019 14:15 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/524841